I was wondering how to interpret different losses in the YOLOv8 model. I've easily found explanations about the box_loss and the cls_loss. About the dfl_loss I don't find any information on the Int...

I have this output that was generated by model.predict() 0: 480x640 1 Hole, 234.1ms Speed: 3.0ms preprocess, 234.1ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 640) 0: 480x640 1 H...